Reaching STEM learners where they study—inside MathGPT.ai’s AI tutor.
Campaign Overview
Advertiser: Statista (Hamburg, Germany)
Placement: MathGPT.ai (Global STEM & math assistant)
Campaign Period: July 1–July 31, 2025 (1 month)
Total Ad Spend: $6,000
Markets Targeted: Global (focus on North America, Europe, Asia)
CPC Cap: $2.40
TL;DR
Statista used Thrads’ self-serve platform to deploy Conversational Native Ads inside MathGPT.ai in under 5 minutes, investing $6 K over one month. Results: $2.10 avg. CPC (–13 % vs $2.40 baseline), 8.2 % CTR (×4.1 vs 2 % benchmark), 5 % sign-up conversion (vs 2.5 % baseline), 4.8× ROAS, and $28,600 in attributed revenue.
1 Context & Objectives
Statista is a leading statistics and market-data platform used by students, researchers and professionals worldwide. In July 2025, they aimed to capture high-intent STEM audiences by advertising inside MathGPT.ai, a top AI-powered math study assistant.
Objectives:
Reduce avg. CPC to ≤ $2.40 (vs $2.40 historical)
Achieve CTR ≥ 5 % (vs 2 % industry)
Boost sign-up conversion to ≥ 5 % (vs 2.5 % baseline)
Deliver ≥ 3× ROAS within 30 days
Generate ≥ $10 K incremental subscription revenue
2 Audience & Targeting
Sweet Spot: STEM students & researchers solving math problems.
On MathGPT.ai, users ask “statistical distribution formulas,” “market-size data for case studies,” or “graph theory examples.” These high-intent, knowledge-seeking moments align perfectly with Statista’s data offerings.
Demographics: STEM learners aged 18–34
Geography: Global (programmatic match via Thrads)
3 Solution & Execution
A. Campaign Setup (< 5 minutes)
Logged into Thrads’ dashboard.
Set budget ($6 K) and CPC cap ($2.40).
Defined global targeting.
Enabled real-time ad creative generation contextual to each user’s query.
No manual publisher selection—Thrads programmatically matches and serves ads.
B. Contextual Triggering
Topic Recognition: MathGPT.ai parses the user’s query for key STEM topics—formulas, definitions, data requests.
For example:
“How does exponential growth apply to compound interest in finance?”
“What’s the statistical distribution for survey data?”
Intent Mapping:
The system categorizes the intent as “data + context” (e.g., historical interest-rate trends) or “definition” (e.g., exponential growth formula).
One-Tap Access: Tapping the card deep-links to the exact Statista chart or report page, preloaded with the relevant dataset (e.g., “Global Interest Rates 1960–2025”). Users can immediately interact with the full dashboard, download data, or start a free trial.
C. User Flow
In-Chat Ad Card appears inside MathGPT.ai’s answer.
Single Tap deep-links to Statista’s subscription sign-up page.
Sign-Up completes in two clicks—no extra form-fills.
4 Detailed Results
Metric | Thrads in MathGPT.ai | Baseline (Open-Web) | Delta |
Total Spend | $6,000 | — | — |
Impressions | 34,841 | — | — |
CTR | 8.2 % | 2 % | ×4.1 |
Clicks | 2,857 | — | — |
Avg. CPC | $2.10 | $2.40 | –13 % |
Sign-Up Conversion Rate | 5 % | 2.5 % | +100 % |
Return on Ad Spend (30 d) | 4.8× | 1.6× | +200 % |
Attributed Revenue | $28,600 | — | — |
Peak Engagement: 4 pm–7 pm local time
Note: An 8.2 % CTR (×4.1 vs 2 % benchmark) shows how delivering data ads at the precise moment of need drives exceptional engagement.
5 Why It Worked
Precision targeting – Thrads leverages detailed query context to surface Statista’s data exactly when users request statistics.
Real-time creative – in-chat cards dynamically include relevant chart thumbnails and callouts for instant relevance.
Programmatic self-serve – zero dev lift; Statista launched and optimized within minutes.
Seamless UX – native ads feel like part of the tutoring flow, boosting trust and conversions.
6 Voices From the Field
“We want to reach our users where they are, especially our most innovative users like those in AI chatbots and Thrads empowers us to do so.”
Giuseppe Bovi— Growth Marketing Lead, Statista
